40,148 results
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A deep learning system for predicting time to progression of diabetic retinopathy
Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk of DR progression is highly variable among different individuals, making it difficult to predict risk and personalize screening intervals. We developed and validated a deep learning system (DeepDR Plus) to…
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Multisensory gamma stimulation promotes glymphatic clearance of amyloid
Abstract The glymphatic movement of fluid through the brain removes metabolic waste 1–4 . Noninvasive 40 Hz stimulation promotes 40 Hz neural activity in multiple brain regions and attenuates pathology in mouse models of Alzheimer’s disease 5–8 . Here we show that multisensory gamma stimulation…
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Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring
Condition monitoring plays a vital role in ensuring the reliability and optimal performance of various engineering systems. Traditional methods for condition monitoring rely on physics-based models and statistical analysis techniques. However, these approaches often face challenges in dealing with…
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Advances in silver nanoparticles: a comprehensive review on their potential as antimicrobial agents and their mechanisms of action elucidated by proteomics
Nanoparticles play a crucial role in the field of nanotechnology, offering different properties due to their surface area attributed to their small size. Among them, silver nanoparticles (AgNPs) have attracted significant attention due to their antimicrobial properties, with applications that date…
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Alkaline Water Electrolysis for Green Hydrogen Production
High Resolution Image Download MS PowerPoint Slide Conspectus The global energy landscape is undergoing significant change. Hydrogen is seen as the energy carrier of the future and will be a key element in the development of more sustainable industry and society. However, hydrogen is currently…
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Design of target specific peptide inhibitors using generative deep learning and molecular dynamics simulations
Abstract We introduce a computational approach for the design of target-specific peptides. Our method integrates a Gated Recurrent Unit-based Variational Autoencoder with Rosetta FlexPepDock for peptide sequence generation and binding affinity assessment. Subsequently, molecular dynamics…
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Complexity of avian evolution revealed by family-level genomes
Abstract Despite tremendous efforts in the past decades, relationships among main avian lineages remain heavily debated without a clear resolution. Discrepancies have been attributed to diversity of species sampled, phylogenetic method and the choice of genomic regions 1–3 . Here we address these…
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Plastic recycling: A panacea or environmental pollution problem
Increasing plastic waste is a critical global challenge to ecological and human health requiring focused solutions to reduce omnipresent plastic pollution in the environment. While recycling has been touted as one solution to counter plastic waste and resource utilization, it has been largely…
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PREDICTIVE PERFORMANCE AND SCALABILITY MODELING OF A LARGE-SCALE APPLICATION
No abstract prepared.
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Computational Linguistics
Linguistics is concerned with rules that are followed by languages as a system. Computational linguistics(CL)combines the power of machine learning and human language.As a subfield of linguistics, CL is concerned with the computational description of rules that languages follow. Itis what powers…
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Global trends and scenarios for terrestrial biodiversity and ecosystem services from 1900 to 2050
Based on an extensive model intercomparison, we assessed trends in biodiversity and ecosystem services from historical reconstructions and future scenarios of land-use and climate change. During the 20th century, biodiversity declined globally by 2 to 11%, as estimated by a range of indicators…
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Global, regional, and national burden of thalassemia, 1990–2021: a systematic analysis for the global burden of disease study 2021
Background: Anemia is a significant contributor to the global disease burden, of which thalassemia is the most common hereditary anaemic disease. Previous estimates were based on data that were geographically limited and lacked comprehensive global analysis. This study provides the prevalence…
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Drivers and Impacts of the Record-Breaking 2023 Wildfire Season in Canada
The 2023 wildfire season in Canada was unprecedented in its scale and intensity, spanning from mid-April to late October and across much of the forested regions of Canada. Here, we summarize the main causes and impacts of this exceptional season. The record-breaking total area burned (~15 Mha) can…
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A novel antibiotic class targeting the lipopolysaccharide transporter
Abstract Carbapenem-resistant Acinetobacter baumannii (CRAB) has emerged as a major global pathogen with limited treatment options 1 . No new antibiotic chemical class with activity against A. baumannii has reached patients in over 50 years 1 . Here we report the identification and optimization of…
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Reinvent 4: Modern AI–driven generative molecule design
REINVENT 4 is a modern open-source generative AI framework for the design of small molecules. The software utilizes recurrent neural networks and transformer architectures to drive molecule generation. These generators are seamlessly embedded within the general machine learning optimization…
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Hard carbon for sodium-ion batteries: progress, strategies and future perspective
Because of its abundant resources, low cost and high reversible specific capacity, hard carbon (HC) is considered as the most likely commercial anode material for sodium-ion batteries (SIBs). Therefore, reasonable design and effective strategies to regulate the structure of HCs play a crucial role…
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Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective
This paper conducts a systematic review and interdisciplinary analysis of the ethical challenges of generative AI technologies (N = 37), highlighting significant concerns such as privacy, data protection, copyright infringement, misinformation, biases, and societal inequalities. The ability of…
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Antimicrobial nanoparticles: current landscape and future challenges
Antimicrobial resistance poses a serious threat to global health, necessitating the exploration of innovative solutions.
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